Citation: | LI Wenhua, WANG Lixin, SHEN Qiang, et al. Random drift analysis method of MEMS gyroscope based on EMD[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(9): 1927-1932. doi: 10.13700/j.bh.1001-5965.2020.0681(in Chinese) |
In order to reduce the random drift of Micro-Electro-Mechanical System (MEMS) gyroscope, an improved random drift analysis method of MEMS gyroscope is proposed, based on an improved Empirical Mode Decomposition (EMD) and a mode set selection criterion, combined with the method of time series model and filter. The original data of MEMS gyroscope was decomposed into several Intrinsic Mode Functions (IMFs) by EMD, and IMFs were divided into noise IMFs, mixed IMFs and signal IMFs by using the mode set selection criterion. The mixed IMFs were reconstructed, the time series model of the mixed IMFs after reconstruction was formulated, and Adaptive Kalman Filter (AKF) after modeling was finished. The denoised signal is obtained by reconstruction of three types of signal. Experimental result shows that the proposed method has better denoising effect and real-time performance, which greatly improves the using precision of MEMS gyroscope.
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